Visualizing High-Dimensional Data: Advances in the Past Decade.
Shusen LiuDan MaljovecBei WangPeer-Timo BremerValerio PascucciPublished in: IEEE Trans. Vis. Comput. Graph. (2017)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- subspace clustering
- data sets
- high dimensions
- data analysis
- data distribution
- data points
- high dimensionality
- dimension reduction
- similarity search
- linear discriminant analysis
- original data
- input space
- nonlinear dimensionality reduction
- complex data
- neural network
- high dimensional datasets
- subspace learning
- lower dimensional
- variable selection
- high dimensional data sets
- high dimensional spaces
- input data
- database
- manifold learning
- multi dimensional
- sparse representation
- principal component analysis
- microarray
- dimensional data